Pandas Profiling Report

Dataset statistics

Number of variables	25
Number of observations	1000
Missing cells	100
Missing cells (%)	0.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	75.6 KiB
Average record size in memory	77.5 B

Variable types

Numeric	7
Categorical	18

Alerts

`C4` is highly correlated with `C9` and 1 other fields	High correlation
`C9` is highly correlated with `C4` and 1 other fields	High correlation
`C25` is highly correlated with `C4` and 1 other fields	High correlation
`C4` is highly correlated with `C9` and 1 other fields	High correlation
`C9` is highly correlated with `C4` and 1 other fields	High correlation
`C25` is highly correlated with `C4` and 1 other fields	High correlation
`C4` is highly correlated with `C25`	High correlation
`C25` is highly correlated with `C4`	High correlation
`C24` is highly correlated with `C8`	High correlation
`C8` is highly correlated with `C24`	High correlation
`Class` is highly correlated with `C7`	High correlation
`C4` is highly correlated with `C9` and 1 other fields	High correlation
`C7` is highly correlated with `Class`	High correlation
`C8` is highly correlated with `C24`	High correlation
`C9` is highly correlated with `C4` and 1 other fields	High correlation
`C14` is highly correlated with `C22`	High correlation
`C22` is highly correlated with `C14`	High correlation
`C24` is highly correlated with `C8`	High correlation
`C25` is highly correlated with `C4` and 1 other fields	High correlation
`Class` has 100 (10.0%) missing values	Missing
`df_index` has unique values	Unique

Reproduction

Analysis started	2021-10-02 08:20:09.991711
Analysis finished	2021-10-02 08:20:21.800751
Duration	11.81 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

UNIQUE

Distinct	1000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	509.5

Minimum	0
Maximum	1099
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	0
5-th percentile	49.95
Q1	249.75
median	499.5
Q3	749.25
95-th percentile	1049.05
Maximum	1099
Range	1099
Interquartile range (IQR)	499.5

Descriptive statistics

Standard deviation	305.4939878
Coefficient of variation (CV)	0.5995956581
Kurtosis	-1.002572921
Mean	509.5
Median Absolute Deviation (MAD)	250
Skewness	0.167175411
Sum	509500
Variance	93326.57658
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	0.1%
671	1	0.1%
658	1	0.1%
659	1	0.1%
660	1	0.1%
661	1	0.1%
662	1	0.1%
663	1	0.1%
664	1	0.1%
665	1	0.1%
Other values (990)	990	99.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.1%
1	1	0.1%
2	1	0.1%
3	1	0.1%
4	1	0.1%
5	1	0.1%
6	1	0.1%
7	1	0.1%
8	1	0.1%
9	1	0.1%

Value	Count	Frequency (%)
1099	1	0.1%
1098	1	0.1%
1097	1	0.1%
1096	1	0.1%
1095	1	0.1%
1094	1	0.1%
1093	1	0.1%
1092	1	0.1%
1091	1	0.1%
1090	1	0.1%

Class
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.2%
Missing	100
Missing (%)	10.0%
Memory size	1.2 KiB

0.0	650
1.0	250

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	650	65.0%
1.0	250	25.0%
(Missing)	100	10.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	650	72.2%
1.0	250	27.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

C1
Real number (ℝ_≥0)

Distinct	55
Distinct (%)	5.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	35.039

Minimum	18
Maximum	75
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	18
5-th percentile	22
Q1	26
median	32
Q3	41
95-th percentile	59
Maximum	75
Range	57
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	11.39857037
Coefficient of variation (CV)	0.3253109497
Kurtosis	0.568088875
Mean	35.039
Median Absolute Deviation (MAD)	7
Skewness	1.008867955
Sum	35039
Variance	129.9274064
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
26	54	5.4%
27	49	4.9%
25	48	4.8%
23	42	4.2%
29	40	4.0%
32	39	3.9%
24	39	3.9%
35	39	3.9%
22	39	3.9%
36	36	3.6%
Other values (45)	575	57.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
18	2	0.2%
19	5	0.5%
20	16	1.6%
21	24	2.4%
22	39	3.9%
23	42	4.2%
24	39	3.9%
25	48	4.8%
26	54	5.4%
27	49	4.9%

Value	Count	Frequency (%)
75	1	0.1%
74	3	0.3%
73	2	0.2%
70	1	0.1%
68	1	0.1%
67	3	0.3%
66	4	0.4%
65	7	0.7%
64	3	0.3%
63	5	0.5%

C2
Categorical

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

yes	963
no	37

Length

Max length	3
Median length	3
Mean length	2.963
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	yes
2nd row	yes
3rd row	yes
4th row	yes
5th row	yes

Common Values

Value	Count	Frequency (%)
yes	963	96.3%
no	37	3.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
yes	963	96.3%
no	37	3.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

C3
Categorical

Distinct	5
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	1.3 KiB

V3	345
V5	251
V2	171
V4	171
V1	62

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	V5
2nd row	V3
3rd row	V5
4th row	V3
5th row	V3

Common Values

Value	Count	Frequency (%)
V3	345	34.5%
V5	251	25.1%
V2	171	17.1%
V4	171	17.1%
V1	62	6.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
v3	345	34.5%
v5	251	25.1%
v2	171	17.1%
v4	171	17.1%
v1	62	6.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

C4
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	46
Distinct (%)	4.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20.46443367

Minimum	3
Maximum	72
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	3
5-th percentile	6
Q1	11
median	18
Q3	24
95-th percentile	47
Maximum	72
Range	69
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	12.06211599
Coefficient of variation (CV)	0.5894185094
Kurtosis	0.9382521302
Mean	20.46443367
Median Absolute Deviation (MAD)	6.5
Skewness	1.098691202
Sum	20464.43367
Variance	145.4946421
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=46)

Value	Count	Frequency (%)
11	99	9.9%
24	93	9.3%
23	89	8.9%
12	87	8.7%
17	60	6.0%
18	52	5.2%
36	49	4.9%
9	41	4.1%
6	39	3.9%
14	39	3.9%
Other values (36)	352	35.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3	3	0.3%
4	3	0.3%
5	36	3.6%
6	39	3.9%
7	4	0.4%
8	27	2.7%
9	41	4.1%
10	18	1.8%
11	99	9.9%
12	87	8.7%

Value	Count	Frequency (%)
72	1	0.1%
60	9	0.9%
59	4	0.4%
54	1	0.1%
53	1	0.1%
48	21	2.1%
47	27	2.7%
46	1	0.1%
45	4	0.4%
44	1	0.1%

C5
Categorical

Distinct	10
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	1.5 KiB

V3	280
V7	234
V2	181
V1	103
V9	97
Other values (5)	105

Length

Max length	3
Median length	2
Mean length	2.012
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	V2
2nd row	V7
3rd row	V2
4th row	V7
5th row	V1

Common Values

Value	Count	Frequency (%)
V3	280	28.0%
V7	234	23.4%
V2	181	18.1%
V1	103	10.3%
V9	97	9.7%
V6	50	5.0%
V5	22	2.2%
V10	12	1.2%
V4	12	1.2%
V8	9	0.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
v3	280	28.0%
v7	234	23.4%
v2	181	18.1%
v1	103	10.3%
v9	97	9.7%
v6	50	5.0%
v5	22	2.2%
v10	12	1.2%
v4	12	1.2%
v8	9	0.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

C6
Categorical

Distinct	5
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	1.3 KiB

V1	603
V5	183
V2	103
V3	63
V4	48

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	V1
2nd row	V1
3rd row	V1
4th row	V1
5th row	V1

Common Values

Value	Count	Frequency (%)
V1	603	60.3%
V5	183	18.3%
V2	103	10.3%
V3	63	6.3%
V4	48	4.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
v1	603	60.3%
v5	183	18.3%
v2	103	10.3%
v3	63	6.3%
v4	48	4.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

C7
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	1.3 KiB

V4	394
V1	274
V2	269
V3	63

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	V1
2nd row	V1
3rd row	V2
4th row	V1
5th row	V4

Common Values

Value	Count	Frequency (%)
V4	394	39.4%
V1	274	27.4%
V2	269	26.9%
V3	63	6.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
v4	394	39.4%
v1	274	27.4%
v2	269	26.9%
v3	63	6.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

C8
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	1.3 KiB

V4	332
V1	282
V2	232
V3	154

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	V3
2nd row	V1
3rd row	V3
4th row	V4
5th row	V1

Common Values

Value	Count	Frequency (%)
V4	332	33.2%
V1	282	28.2%
V2	232	23.2%
V3	154	15.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
v4	332	33.2%
v1	282	28.2%
v2	232	23.2%
v3	154	15.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

C9
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	916
Distinct (%)	91.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3270.739

Minimum	249
Maximum	18424
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	249
5-th percentile	708.9
Q1	1365.5
median	2319
Q3	3971.25
95-th percentile	9162.65
Maximum	18424
Range	18175
Interquartile range (IQR)	2605.75

Descriptive statistics

Standard deviation	2822.732086
Coefficient of variation (CV)	0.8630257827
Kurtosis	4.292731863
Mean	3270.739
Median Absolute Deviation (MAD)	1098
Skewness	1.949655282
Sum	3270739
Variance	7967816.427
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1257	3	0.3%
1533	3	0.3%
1216	3	0.3%
3398	2	0.2%
1037	2	0.2%
2246	2	0.2%
1381	2	0.2%
701	2	0.2%
3148	2	0.2%
1264	2	0.2%
Other values (906)	977	97.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
249	1	0.1%
276	1	0.1%
338	2	0.2%
343	1	0.1%
362	1	0.1%
367	1	0.1%
385	1	0.1%
392	1	0.1%
408	1	0.1%
425	1	0.1%

Value	Count	Frequency (%)
18424	1	0.1%
15944	1	0.1%
15857	1	0.1%
15671	1	0.1%
15652	1	0.1%
14895	1	0.1%
14782	1	0.1%
14554	1	0.1%
14421	1	0.1%
14317	1	0.1%

C13
Categorical

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

V3	816
V1	137
V2	47

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	V3
2nd row	V3
3rd row	V3
4th row	V3
5th row	V3

Common Values

Value	Count	Frequency (%)
V3	816	81.6%
V1	137	13.7%
V2	47	4.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
v3	816	81.6%
v1	137	13.7%
v2	47	4.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

C14
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	1.3 KiB

V3	630
V2	200
V4	148
V1	22

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	V4
2nd row	V3
3rd row	V4
4th row	V3
5th row	V3

Common Values

Value	Count	Frequency (%)
V3	630	63.0%
V2	200	20.0%
V4	148	14.8%
V1	22	2.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
v3	630	63.0%
v2	200	20.0%
v4	148	14.8%
v1	22	2.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

C16
Real number (ℝ_≥0)

Distinct	996
Distinct (%)	99.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40647.645

Minimum	1446
Maximum	220716
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	1446
5-th percentile	7784.6
Q1	19447.75
median	33797
Q3	56198.75
95-th percentile	96787.8
Maximum	220716
Range	219270
Interquartile range (IQR)	36751

Descriptive statistics

Standard deviation	28281.59232
Coefficient of variation (CV)	0.6957744371
Kurtosis	2.802524804
Mean	40647.645
Median Absolute Deviation (MAD)	16987.5
Skewness	1.340223268
Sum	40647645
Variance	799848464.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
43560	2	0.2%
21540	2	0.2%
19836	2	0.2%
29272	2	0.2%
30964	1	0.1%
12081	1	0.1%
60412	1	0.1%
52590	1	0.1%
23225	1	0.1%
7067	1	0.1%
Other values (986)	986	98.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1446	1	0.1%
1560	1	0.1%
1900	1	0.1%
2062	1	0.1%
2296	1	0.1%
2668	1	0.1%
3457	1	0.1%
3546	1	0.1%
4001	1	0.1%
4030	1	0.1%

Value	Count	Frequency (%)
220716	1	0.1%
187204	1	0.1%
157435	1	0.1%
155195	1	0.1%
146439	1	0.1%
145341	1	0.1%
131107	1	0.1%
127113	1	0.1%
126233	1	0.1%
125218	1	0.1%

C18
Categorical

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

V1	907
V3	52
V2	41

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	V1
2nd row	V1
3rd row	V1
4th row	V1
5th row	V1

Common Values

Value	Count	Frequency (%)
V1	907	90.7%
V3	52	5.2%
V2	41	4.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
v1	907	90.7%
v3	52	5.2%
v2	41	4.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

C19
Real number (ℝ_≥0)

Distinct	856
Distinct (%)	85.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4999.929

Minimum	2272
Maximum	8633
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	2272
5-th percentile	3405.6
Q1	4322.75
median	4976.5
Q3	5699.5
95-th percentile	6687.9
Maximum	8633
Range	6361
Interquartile range (IQR)	1376.75

Descriptive statistics

Standard deviation	1011.98354
Coefficient of variation (CV)	0.202399582
Kurtosis	-0.1800648176
Mean	4999.929
Median Absolute Deviation (MAD)	676.5
Skewness	0.1527404825
Sum	4999929
Variance	1024110.685
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4407	4	0.4%
5514	4	0.4%
5634	3	0.3%
5325	3	0.3%
4200	3	0.3%
4978	3	0.3%
4628	3	0.3%
5602	3	0.3%
3601	3	0.3%
5677	3	0.3%
Other values (846)	968	96.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2272	1	0.1%
2285	1	0.1%
2536	1	0.1%
2555	1	0.1%
2587	1	0.1%
2609	1	0.1%
2614	1	0.1%
2634	1	0.1%
2644	1	0.1%
2675	1	0.1%

Value	Count	Frequency (%)
8633	1	0.1%
8066	1	0.1%
7805	1	0.1%
7615	1	0.1%
7609	1	0.1%
7605	1	0.1%
7595	1	0.1%
7453	1	0.1%
7437	1	0.1%
7429	1	0.1%

C20
Categorical

Distinct	4
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	1.3 KiB

4	413
2	308
3	149
1	130

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	2
3rd row	3
4th row	4
5th row	4

Common Values

Value	Count	Frequency (%)
4	413	41.3%
2	308	30.8%
3	149	14.9%
1	130	13.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
4	413	41.3%
2	308	30.8%
3	149	14.9%
1	130	13.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

C21
Categorical

Distinct	5
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	1.3 KiB

V2	530
V4	293
V3	88
V1	49
V5	40

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	V2
2nd row	V4
3rd row	V3
4th row	V2
5th row	V3

Common Values

Value	Count	Frequency (%)
V2	530	53.0%
V4	293	29.3%
V3	88	8.8%
V1	49	4.9%
V5	40	4.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
v2	530	53.0%
v4	293	29.3%
v3	88	8.8%
v1	49	4.9%
v5	40	4.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

C22
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

V1	596
V2	404

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	V2
2nd row	V1
3rd row	V2
4th row	V1
5th row	V1

Common Values

Value	Count	Frequency (%)
V1	596	59.6%
V2	404	40.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
v1	596	59.6%
v2	404	40.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

C23
Categorical

Distinct	4
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	1.3 KiB

1	633
2	333
3	28
4	6

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	633	63.3%
2	333	33.3%
3	28	2.8%
4	6	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	633	63.3%
2	333	33.3%
3	28	2.8%
4	6	0.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

C24
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

V2	713
V1	179
V3	108

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	V3
2nd row	V1
3rd row	V2
4th row	V1
5th row	V1

Common Values

Value	Count	Frequency (%)
V2	713	71.3%
V1	179	17.9%
V3	108	10.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
v2	713	71.3%
v1	179	17.9%
v3	108	10.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

C25
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	45
Distinct (%)	4.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20.421

Minimum	3
Maximum	72
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	3
5-th percentile	6
Q1	11
median	18
Q3	24
95-th percentile	47
Maximum	72
Range	69
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	12.09255924
Coefficient of variation (CV)	0.5921629323
Kurtosis	0.922454624
Mean	20.421
Median Absolute Deviation (MAD)	7
Skewness	1.094927827
Sum	20421
Variance	146.229989
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
11	99	9.9%
24	93	9.3%
23	91	9.1%
12	87	8.7%
17	60	6.0%
18	53	5.3%
36	49	4.9%
9	41	4.1%
14	39	3.9%
6	39	3.9%
Other values (35)	349	34.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3	3	0.3%
4	3	0.3%
5	39	3.9%
6	39	3.9%
7	4	0.4%
8	27	2.7%
9	41	4.1%
10	18	1.8%
11	99	9.9%
12	87	8.7%

Value	Count	Frequency (%)
72	1	0.1%
60	9	0.9%
59	4	0.4%
54	1	0.1%
53	1	0.1%
48	21	2.1%
47	27	2.7%
46	1	0.1%
45	4	0.4%
44	1	0.1%

C27
Categorical

Distinct	4
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	1.3 KiB

4	476
2	231
3	157
1	136

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	2
3rd row	4
4th row	2
5th row	4

Common Values

Value	Count	Frequency (%)
4	476	47.6%
2	231	23.1%
3	157	15.7%
1	136	13.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
4	476	47.6%
2	231	23.1%
3	157	15.7%
1	136	13.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

C28
Categorical

Distinct	4
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	1.3 KiB

V3	548
V2	310
V4	92
V1	50

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	V3
2nd row	V3
3rd row	V1
4th row	V2
5th row	V4

Common Values

Value	Count	Frequency (%)
V3	548	54.8%
V2	310	31.0%
V4	92	9.2%
V1	50	5.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
v3	548	54.8%
v2	310	31.0%
v4	92	9.2%
v1	50	5.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

C29
Categorical

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

1.0	848
2.0	152

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	2.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	848	84.8%
2.0	152	15.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	848	84.8%
2.0	152	15.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	df_index	Class	C1	C2	C3	C4	C5	C6	C7	C8	C9	C13	C14	C16	C18	C19	C20	C21	C22	C23	C24	C25	C27	C28	C29
0	0	1.0	53	yes	V5	11.0	V2	V1	V1	V3	7865	V3	V4	30964	V1	3824	4	V2	V2	1	V3	11	4	V3	1.0
1	1	0.0	35	yes	V3	11.0	V7	V1	V1	V1	3904	V3	V3	157435	V1	5160	2	V4	V1	2	V1	11	2	V3	2.0
2	2	1.0	40	yes	V5	18.0	V2	V1	V2	V3	4296	V3	V4	21999	V1	3720	3	V3	V2	1	V2	18	4	V1	1.0
3	3	0.0	28	yes	V3	14.0	V7	V1	V1	V4	1402	V3	V3	56353	V1	6245	4	V2	V1	1	V1	14	2	V2	1.0
4	4	0.0	40	yes	V3	11.0	V1	V1	V4	V1	1503	V3	V3	6160	V1	5496	4	V3	V1	1	V1	11	4	V4	1.0
5	5	0.0	25	yes	V2	11.0	V3	V1	V2	V1	624	V1	V2	13282	V3	4030	1	V2	V1	1	V2	11	4	V4	1.0
6	6	0.0	61	yes	V3	6.0	V4	V3	V4	V1	1337	V3	V3	58376	V1	4304	4	V2	V1	1	V2	6	1	V1	1.0
7	7	1.0	24	yes	V2	12.0	V2	V1	V2	V2	2968	V3	V3	69444	V1	5968	3	V5	V1	2	V1	12	4	V2	1.0
8	8	0.0	25	yes	V3	11.0	V2	V1	V4	V1	762	V3	V3	25653	V1	7189	1	V2	V2	1	V2	11	4	V2	1.0
9	9	0.0	44	yes	V5	36.0	V7	V1	V4	V4	10874	V3	V3	13784	V1	4399	2	V3	V2	2	V2	36	2	V3	2.0

Last rows

	df_index	Class	C1	C2	C3	C4	C5	C6	C7	C8	C9	C13	C14	C16	C18	C19	C20	C21	C22	C23	C24	C25	C27	C28	C29
990	1090	NaN	43	yes	V2	17.0	V2	V1	V4	V2	1533	V3	V2	44754	V2	4487	1	V2	V1	1	V2	17	4	V4	2.0
991	1091	NaN	25	yes	V3	18.0	V3	V1	V1	V1	1344	V1	V3	30397	V1	7370	3	V2	V1	1	V2	18	4	V4	1.0
992	1092	NaN	29	yes	V5	21.0	V7	V1	V1	V4	1601	V3	V3	25331	V1	5841	3	V4	V2	2	V2	21	4	V4	1.0
993	1093	NaN	46	yes	V5	24.0	V7	V1	V4	V4	2538	V3	V2	37402	V1	3345	4	V3	V1	2	V2	24	4	V3	2.0
994	1094	NaN	22	yes	V2	13.0	V3	V1	V2	V2	2100	V3	V2	14812	V3	6116	4	V2	V1	1	V2	13	2	V2	1.0
995	1095	NaN	31	yes	V3	48.0	V3	V1	V1	V4	6758	V3	V3	23786	V1	4200	2	V2	V2	1	V2	48	3	V2	1.0
996	1096	NaN	39	yes	V5	22.0	V3	V3	V4	V4	2674	V3	V3	43446	V1	4844	4	V2	V1	1	V2	22	3	V3	1.0
997	1097	NaN	23	yes	V3	17.0	V2	V1	V1	V1	2123	V3	V3	18760	V1	4044	4	V4	V1	2	V1	17	4	V2	1.0
998	1098	NaN	25	no	V2	5.0	V3	V1	V2	V1	589	V3	V2	35026	V1	5054	3	V2	V1	1	V2	5	3	V4	1.0
999	1099	NaN	34	yes	V3	7.0	V3	V1	V2	V1	2576	V3	V3	66466	V3	5034	2	V2	V1	1	V2	7	2	V3	1.0

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script